Glow: Generative Flow with Invertible 1x1 Convolutions

9 July 2018

Diederik P. Kingma

Papers citing "Glow: Generative Flow with Invertible 1x1 Convolutions"

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Title
Anomaly Detection in Trajectory Data with Normalizing Flows M. L. D. Dias C. L. C. Mattos Ticiana L. Coelho da Silva J. Macêdo W. C. P. Silva AI4TS 9 31 0 13 Apr 2020
Variational Autoencoders with Normalizing Flow Decoders Rogan Morrow Wei-Chen Chiu DRL 9 19 0 12 Apr 2020
Decoupling Global and Local Representations via Invertible Generative Flows Xuezhe Ma X. Kong Shanghang Zhang Eduard H. Hovy DRL 32 3 0 12 Apr 2020
Gradients as Features for Deep Representation Learning Fangzhou Mu Yingyu Liang Yin Li OOD 27 37 0 12 Apr 2020
A Review on Deep Learning Techniques for Video Prediction Sergiu Oprea P. Martinez-Gonzalez Alberto Garcia-Garcia John Alejandro Castro-Vargas S. Orts-Escolano Jose Garcia-Rodriguez Antonis Argyros 29 251 0 10 Apr 2020
Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation Sajad Norouzi David J. Fleet Mohammad Norouzi VLM DRL 16 3 0 09 Apr 2020
Adversarial Latent Autoencoders Stanislav Pidhorskyi Donald Adjeroh Gianfranco Doretto GAN DRL 51 259 0 09 Apr 2020
DeepSEE: Deep Disentangled Semantic Explorative Extreme Super-Resolution Marcel C. Bühler Andrés Romero Radu Timofte SupR 40 32 0 09 Apr 2020
Deep Manifold Prior Matheus Gadelha Rui Wang Subhransu Maji 3DPC AI4CE 17 16 0 08 Apr 2020
Normalizing Flows with Multi-Scale Autoregressive Priors Shweta Mahajan Apratim Bhattacharyya Mario Fritz Bernt Schiele Stefan Roth BDL DRL 20 16 0 08 Apr 2020
State of the Art on Neural Rendering A. Tewari Ohad Fried Justus Thies Vincent Sitzmann Stephen Lombardi ... Christian Theobalt Maneesh Agrawala Eli Shechtman Dan B. Goldman Michael Zollhöfer 3DH 3DV 39 466 0 08 Apr 2020
Training End-to-end Single Image Generators without GANs Yael Vinker Nir Zabari Yedid Hoshen 27 1 0 07 Apr 2020
Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and Classification Jianwen Xie Yifei Xu Zilong Zheng Song-Chun Zhu Ying Nian Wu 3DPC 27 80 0 02 Apr 2020
Deep transformation models: Tackling complex regression problems with neural network based transformation models Beate Sick Torsten Hothorn Oliver Durr MedIm BDL OOD UQCV 14 28 0 01 Apr 2020
SUMO: Unbiased Estimation of Log Marginal Probability for Latent Variable Models Yucen Luo Alex Beatson Mohammad Norouzi Jun Zhu David Duvenaud Ryan P. Adams Ricky T. Q. Chen 13 29 0 01 Apr 2020
In-Domain GAN Inversion for Real Image Editing Jiapeng Zhu Yujun Shen Deli Zhao Bolei Zhou DiffM 32 640 0 31 Mar 2020
Flows for simultaneous manifold learning and density estimation Johann Brehmer Kyle Cranmer DRL AI4CE 29 156 0 31 Mar 2020
Coping With Simulators That Don't Always Return Andrew Warrington Saeid Naderiparizi Frank Wood 13 4 0 28 Mar 2020
MCFlow: Monte Carlo Flow Models for Data Imputation Trevor W. Richardson Wencheng Wu Lei Lin Beilei Xu Edgar A. Bernal OOD 19 45 0 27 Mar 2020
Hybrid Models for Open Set Recognition Hongjie Zhang Ang Li Jie Guo Yanwen Guo BDL 28 184 0 27 Mar 2020
Weakly-Supervised Action Localization by Generative Attention Modeling Baifeng Shi Qi Dai Yadong Mu Jingdong Wang WSOL 10 146 0 27 Mar 2020
Log-Likelihood Ratio Minimizing Flows: Towards Robust and Quantifiable Neural Distribution Alignment Ben Usman Avneesh Sud Nick Dufour Kate Saenko OOD 17 13 0 26 Mar 2020
Learning To Solve Differential Equations Across Initial Conditions Shehryar Malik Usman Anwar Ali Ahmed Alireza Aghasi AI4CE 19 8 0 26 Mar 2020
A Survey of Deep Learning for Scientific Discovery M. Raghu Erica Schmidt OOD AI4CE 47 120 0 26 Mar 2020
Re-Training StyleGAN -- A First Step Towards Building Large, Scalable Synthetic Facial Datasets Viktor Varkarakis S. Bazrafkan Peter Corcoran GAN 17 4 0 24 Mar 2020
Weakly Supervised 3D Human Pose and Shape Reconstruction with Normalizing Flows Andrei Zanfir Eduard Gabriel Bazavan Hongyi Xu Bill Freeman Rahul Sukthankar C. Sminchisescu 3DH 31 133 0 23 Mar 2020
Learning Better Lossless Compression Using Lossy Compression Fabian Mentzer Luc Van Gool Michael Tschannen 71 71 0 23 Mar 2020
Solving Inverse Problems with a Flow-based Noise Model Jay Whang Qi Lei A. Dimakis 64 36 0 18 Mar 2020
Blur, Noise, and Compression Robust Generative Adversarial Networks Takuhiro Kaneko Tatsuya Harada 12 17 0 17 Mar 2020
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location O. Kayhan Jan van Gemert 213 233 0 16 Mar 2020
BayesFlow: Learning complex stochastic models with invertible neural networks Stefan T. Radev U. Mertens A. Voss Lynton Ardizzone Ullrich Kothe BDL 11 185 0 13 Mar 2020
Efficient Content-Based Sparse Attention with Routing Transformers Aurko Roy M. Saffar Ashish Vaswani David Grangier MoE 255 580 0 12 Mar 2020
Training Deep Energy-Based Models with f-Divergence Minimization Lantao Yu Yang Song Jiaming Song Stefano Ermon 182 42 0 06 Mar 2020
Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder Zhisheng Xiao Qing Yan Y. Amit OODD 20 189 0 06 Mar 2020
Gaussianization Flows Chenlin Meng Yang Song Jiaming Song Stefano Ermon 4 30 0 04 Mar 2020
Learning to Collide: An Adaptive Safety-Critical Scenarios Generating Method Wenhao Ding Baiming Chen Minjun Xu Ding Zhao 19 111 0 02 Mar 2020
Soft-Root-Sign Activation Function Yuan Zhou Dandan Li Shuwei Huo S. Kung ODL 33 25 0 01 Mar 2020
Deep Meditations: Controlled navigation of latent space Memo Akten R. Fiebrink M. Grierson VGen DiffM 17 3 0 27 Feb 2020
Woodbury Transformations for Deep Generative Flows You Lu Bert Huang 6 16 0 27 Feb 2020
Gradient Boosted Normalizing Flows Robert Giaquinto A. Banerjee BDL DRL 14 1 0 27 Feb 2020
Disentangling Adaptive Gradient Methods from Learning Rates Naman Agarwal Rohan Anil Elad Hazan Tomer Koren Cyril Zhang 27 34 0 26 Feb 2020
Composing Normalizing Flows for Inverse Problems Jay Whang Erik M. Lindgren A. Dimakis TPM 28 50 0 26 Feb 2020
ICE-BeeM: Identifiable Conditional Energy-Based Deep Models Based on Nonlinear ICA Ilyes Khemakhem R. Monti Diederik P. Kingma Aapo Hyvarinen CML 17 112 0 26 Feb 2020
Max-Affine Spline Insights into Deep Generative Networks Randall Balestriero Sébastien Paris Richard Baraniuk DRL AI4CE 19 15 0 26 Feb 2020
Unsupervised Discovery, Control, and Disentanglement of Semantic Attributes with Applications to Anomaly Detection William Paul I-J. Wang F. Alajaji Philippe Burlina DiffM DRL 21 6 0 25 Feb 2020
Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows Ruizhi Deng B. Chang Marcus A. Brubaker Greg Mori Andreas M. Lehrmann 25 50 0 24 Feb 2020
VFlow: More Expressive Generative Flows with Variational Data Augmentation Jianfei Chen Cheng Lu Biqi Chenli Jun Zhu Tian Tian DRL 24 63 0 22 Feb 2020
Stochastic Latent Residual Video Prediction Jean-Yves Franceschi E. Delasalles Mickaël Chen Sylvain Lamprier Patrick Gallinari VGen 28 159 0 21 Feb 2020
Regularized Autoencoders via Relaxed Injective Probability Flow Abhishek Kumar Ben Poole Kevin Patrick Murphy BDL TPM DRL 24 38 0 20 Feb 2020
Source Separation with Deep Generative Priors V. Jayaram John Thickstun 16 38 0 19 Feb 2020